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Principal Engineer, Software

8 hours, 58 minutes ago
India
Full-time
Lead
AI Engineer
Software Development
CI/CD Computer Vision Django Docker FastAPI Kubernetes LLM Machine Learning MLOps Spring Boot
Apply Now
AlphaSense

AlphaSense

AlphaSense develops an artificial intelligence-based search platform that enables investment and corporate professionals to quickly access and analyze extensive financial data and market insights from over 500 million documents, enhancing decision-maki...

Internet Software & Services
251-1K
Founded 2011
$770M raised
View All Jobs 25

Description

  • Research, evaluate, and prototype cutting-edge solutions using large language models, computer vision, and related AI techniques.
  • Architect and build scalable, cost-effective AI services and data processing pipelines for high-volume document processing.
  • Design systems to process millions of documents daily with strong reliability, throughput, and observability.
  • Solve production AI challenges such as LLM latency, variance, prompt engineering, and fault tolerance.
  • Lead technical direction for document ingestion, classification, entity extraction, image search, and related content capabilities.
  • Mentor and influence a large engineering team as a technical leader and thought partner.
  • Drive mission-critical initiatives from concept through production deployment.
  • Build foundational expertise and best practices for the content portfolio.
  • Collaborate across teams to shape the future of AlphaSense’s content platform.

Requirements

  • 14+ years of professional software engineering experience building complex, data-intensive backend systems.
  • 8+ years of experience building and scaling production-grade services with modern backend frameworks such as FastAPI, Django, Spring Boot, or similar.
  • Strong experience designing large-scale distributed systems.
  • Knowledge of asynchronous patterns, streaming, queuing, and caching strategies.
  • Experience with robust observability practices, including logging, metrics, and tracing.
  • Exceptional communication skills and the ability to explain complex technical concepts to diverse audiences.
  • Proven leadership ability to influence engineering direction across multiple teams without direct authority.
  • Hands-on experience across the full AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and iteration in a high-volume cloud environment. (Nice to have)
  • Experience with modern DevOps and MLOps practices, including CI/CD pipelines, Infrastructure as Code (IaC), and automated testing frameworks. (Nice to have)
  • Hands-on experience with Docker and Kubernetes. (Nice to have)

Interested in this position?

Apply directly on the company website

Apply Now

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